• DocumentCode
    3583392
  • Title

    Reference Current Computation Method Based on Adaptive Low-Pass Filter for Active Power Filter

  • Author

    Rong Fei ; Yu Jingrong ; Luo An

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    996
  • Lastpage
    999
  • Abstract
    The performance of reference current computation method based on Fryze, Buchholz, Dpenbrock (FBD) algorithm is focused on. An adaptive low-pass filter (LPF) based on fuzzy logic is proposed, which is composed of two two-order Butterworth LPFs, and fuzzy logic is developed taking changing amplitude of load current and harmonic number of the lowest harmonic current into account. The selection and switching time of two LPFs is determined by result of fuzzy logic and rising time of two-order Butterworth LPF with cut-off frequency at 10 Hz. Compared with traditional reference current computation methods, FBD algorithm based reference current computation method with adaptive LPF is of high accuracy and better dynamic performance even under unbalanced voltage circumstance. MATLAB simulation results and experimental results prove the validity and effectiveness of the proposed reference current computation method.
  • Keywords
    Butterworth filters; active filters; adaptive filters; fuzzy logic; low-pass filters; power filters; Butterworth filter; Fryze Buchholz Dpenbrock algorithm; MATLAB simulation; active power filter; adaptive low-pass filter; frequency 10 Hz; fuzzy logic; reference current computation method; Active filters; Adaptive filters; Cutoff frequency; Fuzzy logic; High performance computing; Low pass filters; MATLAB; Power filters; Power harmonic filters; Voltage; FBD algorithm; active power filter; fuzzy logic; low-pass filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.26
  • Filename
    5459636